Channel
@Hotchigua
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
75,290subscribers
+55 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001545015761 |
|---|---|
| Type | Channel |
| Username | @Hotchigua |
| Description | 🍉全网吃瓜热点频道｜每日更新网红爆料、社会热议、娱乐资讯、网络新鲜事件、圈内内幕 专注分享网络热点见闻，理性吃瓜，内容仅供娱乐 🌠国际吃瓜中文版 @KIVRAC 🍉抖音热瓜版 @Hotdychigua123 🆙吃瓜备用 @Hot_chiguao 📡投稿&广告 @hot_chigua_bot |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/Hotchigua |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 05:23 | 75,290 | +41 |
| 11 Aug 2026, 02:42 | 75,249 | +18 |
| 9 Aug 2026, 23:38 | 75,231 | -20 |
| 8 Aug 2026, 21:21 | 75,251 | -11 |
| 7 Aug 2026, 20:17 | 75,262 | +27 |
| 7 Aug 2026, 01:31 | 75,235 | first reading |
127 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 68 of 127 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 127 (6 August 2026 – 12 August 2026) |
| Views total | 106,269 |
| Reactions total | 117 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:58 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 85 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
117 reactions across 61 posts, in 17 distinct kinds. The most used accounts for 41.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 48 | 41.0% | |
| 👍 | 29 | 24.8% | |
| 💩 | 8 | 6.84% | |
| 🤮 | 7 | 5.98% | |
| 🤡 | 5 | 4.27% | |
| 👎 | 3 | 2.56% | |
| 😁 | 3 | 2.56% | |
| 🤯 | 3 | 2.56% | |
| 😨 | 2 | 1.71% | |
| 🤬 | 2 | 1.71% | |
| 👏 | 1 | 0.855% | |
| 🔥 | 1 | 0.855% | |
| 😢 | 1 | 0.855% | |
| 😱 | 1 | 0.855% | |
| 😴 | 1 | 0.855% | |
| 🤣 | 1 | 0.855% | |
| 🥰 | 1 | 0.855% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 68 of the 127 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 117reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 127 most recent posts we hold, published 6 August 2026 to 12 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
2026年8月，24岁中国女孩祁萌（网名“糖醋小萌”）在泰国失联后，其社交账号于8月12日发布内容称已回国，但该说法因回应内容存在多处疑点而引发广泛质疑，事件真相仍待核实。 事件回顾：从失联到自称回国 失联经过：祁萌首次出国，先在马来西亚游玩，于8月2日从吉隆坡飞抵泰国曼谷。据其好友主播陈泽透露，她在曼谷机场外轻信陌生人“顺路送她去清迈”的邀约后上车失联。截至8月11日，她已失联超一周，家属因过度担忧病倒住院，朋友甚至表示愿与不法分子沟通赎金事宜。 官方介入：8月11日，中国驻泰国使馆确认已收到祁萌家属求助，并表示将告知泰国警方立案程序，持续提供协助。 突发“报平安”：8月12日，祁萌的社交账号突然更新，称自己“已平安回国”，失联原因是“手机丢失后走丢”，并晒出带有北京首都国际机场水印的照片，IP定位也显示在北京机场。 核心质疑：为何“报平安”反而引发更大担忧 尽管账号声称已回国，但网友和媒体随即指出了多个不合常理之处：…
你现在说 你爱我 我们还没离婚呢🤣 #抓奸 #吃瓜 #八卦瓜 #每日瓜讯
华人女孩在巴厘岛旅游时被两个意大利男生亲，她非常的开心且享受。她最后回应评论区的有些人很搞笑，一边攻击我，一边又有人私信问“我为什么亲的不是我？” #吃瓜 #每日瓜讯 #普信女
❤1
见流星者发发财 祝大家今年 廢 廢 廢 点个赞👍 #吃瓜
👍5❤1
卧槽手废了 🤯🤯这得开多快 #精神小伙飙车失败 #吃瓜 #车祸 #每日瓜讯
👍1
苏E机长果然名不虚传... #吃瓜 #每日瓜讯 #翻车
生活不易啊。。。 12日，江苏。网友发布。。 讨薪 #吃瓜 #每日瓜讯 #网友爆料
#吃瓜 #每日瓜讯 我以为是什么事呢🌚🌚
废物 #舔狗 #吃瓜 #网络热议 #每日瓜讯
❤1🤡1
尼玛不恶心吗🤮🤮 #吃瓜 #热点
💩1
广西，光天化日，抢烟，你都够大胆 #吃瓜 #每日瓜讯
Telegram必备的搜索引擎，极搜JISOU帮你精准找到，想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5226850793
Showing the 12 most recent of 127 posts we hold for @Hotchigua. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 176,327 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜热点” (@Hotchigua), 75,290 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Hotchigua.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.